Ravali MunagalainDataDrivenInvestorHyper Parameter Tuning Using Grid search and Random searchA hyperparameter is a parameter that controls the learning process of the machine learning algorithm. Hyperparameter Tuning is choosing…6 min read·Mar 19, 2021----
Ravali MunagalainNerd For TechHDF5 file format with PandasHDF5 is a data format that stores and manages large and complex data with lesser disk space and faster retrieve.6 min read·Mar 16, 2021----
Ravali MunagalainNerd For TechFeature ScalingFeature Scaling is a method to transform the numeric features in a dataset to a standard range so that the performance of the machine…5 min read·Mar 14, 2021----
Ravali MunagalainNerd For TechGradient Boost for Regression ExplainedGradient boost is a machine learning algorithm which works on the ensemble technique called ‘Boosting’. Like other boosting models…4 min read·Mar 9, 2021----
Ravali MunagalaRegularization in Linear ModelsIn machine learning, Regularization is a modification to be applied on a model so that we get more generalized model that fits well with…6 min read·Mar 2, 2021----
Ravali MunagalainNerd For TechUnderstanding AdaboostAdaboost is adaptive learning algorithm, which learns from calling weak learning algorithms repeatedly in a sequential way. It adapts to…6 min read·Feb 22, 2021----
Ravali MunagalaDecision tree vs SVMA Decision tree is a tool in Machine learning that is tree like model which uses some conditions to arrive at a consequence. Each…2 min read·Jan 30, 2021----